Struct opencv::optflow::GPCTrainingParams

#[repr(C)]
pub struct GPCTrainingParams {
    pub max_tree_depth: u32,
    pub min_number_of_samples: i32,
    pub descriptor_type: i32,
    pub print_progress: bool,
}

Class encapsulating training parameters.

Fields

max_tree_depth: u32

Maximum tree depth to stop partitioning.

min_number_of_samples: i32

Minimum number of samples in the node to stop partitioning.

descriptor_type: i32

Type of descriptors to use.

print_progress: bool

Print progress to stdout.

Implementations

impl GPCTrainingParams

pub fn check(self) -> Result<bool>

pub fn new( _max_tree_depth: u32, _min_number_of_samples: i32, _descriptor_type: GPCDescType, _print_progress: bool ) -> Result<GPCTrainingParams>

C++ default parameters

• _max_tree_depth: 20
• _min_number_of_samples: 3
• _descriptor_type: GPC_DESCRIPTOR_DCT
• _print_progress: true

Trait Implementations

impl Clone for GPCTrainingParams

fn clone(&self) -> GPCTrainingParams

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GPCTrainingParams

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<GPCTrainingParams> for GPCTrainingParams

fn eq(&self, other: &GPCTrainingParams) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for GPCTrainingParams

impl StructuralPartialEq for GPCTrainingParams